Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

I recently found myself corresponding with what I thought was a recruiter from a major pharmaceutical company. The recruiter's messages were polished, courteous, and articulate -- almost too ...

The identification of 20 causal plasma proteins for prostate cancer represents a critical step toward addressing the need for improved diagnostic specificity and reveals promising new targets for ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Kelly Ripa and Mark Consuelos divide and conquer when it comes to maintaining their home. During the Wednesday, October 29, episode of Live With Kelly and Mark, the married co-hosts were discussing ...

Your LeetCode profile is more than just a collection of solved problems; it’s a snapshot of your coding journey and a ...

Abstract: We propose a distributed joint localization and tracking algorithm using a message passing framework, for multiple-input multiple-output radars. We employ the mean field approach to derive ...

Abstract: The design of welded beams needs to consider the balance between structural safety and manufacturing economy, which is a multi-constrained optimization problem. This study proposes an ...